Course Outline

Introduction to OpenSearch and Its Ecosystem for Government

  • History and origin from Elasticsearch and Kibana
  • Licensing under Apache 2.0
  • Overview of the OpenSearch project structure and governance

Core Components and Architecture for Government

  • OpenSearch nodes, clusters, and indices
  • OpenSearch Dashboards and visualization capabilities
  • Plugins, extensions, and integration points

Installation and Configuration for Government

  • Installing OpenSearch on Linux and Windows
  • Cluster configuration and topology design
  • Node roles, settings, and configuration files

Data Indexing and Search for Government

  • Index lifecycle management and mapping strategies
  • Query DSL, aggregations, and relevance tuning
  • Performance optimization for indexing and queries

Monitoring and Observability for Government

  • Performance metrics and cluster health checks
  • OpenSearch Performance Analyzer
  • Using OpenSearch Dashboards for monitoring

Security and Access Control for Government

  • Role-based access control and user authentication
  • Data encryption and secure communication
  • Audit logging and compliance features

Advanced Administration and Scaling for Government

  • Backup and restore strategies
  • Horizontal scaling and high availability
  • Troubleshooting and maintenance best practices

Summary and Next Steps for Government

Requirements

  • An understanding of database management concepts for government systems.
  • Experience with Linux or Windows system administration in a public sector environment.
  • Basic familiarity with REST APIs and JSON data formats used in government applications.

Audience

  • DevOps engineers and system administrators for government agencies.
  • Data engineers and software developers working on public sector projects.
  • Technical architects managing enterprise search or analytics infrastructure for government entities.
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (1)

Got to know new features in OS which I wasn't aware before.

Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Course - Search and Analytics with Amazon OpenSearch

Upcoming Courses

OpenSearch Fundamentals

2026-02-27 09:30
21 hours
Cedar Rapids, IA - Regus – Edgewood Pointe
$ 4054 (Online)
$ 5854 (Classroom)

OpenSearch Fundamentals

2026-03-13 09:30
21 hours
Cheyenne, WY
$ 4054 (Online)
$ 5854 (Classroom)

OpenSearch Fundamentals

2026-03-27 09:30
21 hours
Cincinnati, OH - Regus - Downtown - PNC Center
$ 4054 (Online)
$ 5854 (Classroom)

OpenSearch Fundamentals

2026-04-10 09:30
21 hours
Cleveland, OH - Regus at 9th Street
$ 4054 (Online)
$ 5854 (Classroom)

Related Courses

Search and Analytics with Amazon OpenSearch

 21 Hours
This instructor-led, live training in US (online or onsite) is designed for government developers and administrators who wish to utilize OpenSearch to conduct distributed search and data analytics within a unified and secure system. By the end of this training, participants will be able to: - Set up the required development environment to begin building search and analytics solutions with OpenSearch and OpenSearch Dashboards. - Understand the three methods (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch. - Learn how to index data, create data streams, execute queries, and manage cross-cluster operations in OpenSearch. - Explore and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to enhance the search experience while maintaining secure clusters. - Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance for government applications.
Read more...

OpenSearch at Scale

 21 Hours
OpenSearch is a scalable, open-source search and analytics suite designed for high-volume data indexing, observability, and real-time analytics across distributed systems. This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and architects who wish to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics workloads, both on-premises and using AWS OpenSearch Service for government. By the end of this training, participants will be able to: - Design and deploy highly scalable OpenSearch clusters across multiple environments. - Optimize indexing, search, and storage for performance at scale. - Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployments. - Implement observability, high availability, and automated recovery strategies. **Format of the Course** - Instructor-led theory sessions with guided discussions. - Extensive hands-on exercises simulating real-world scaling challenges. - Practical lab work on distributed deployment and performance tuning. **Course Customization Options** - This course can be adapted to emphasize your organization’s data size, performance goals, and deployment environment.
Read more...

Related Categories

OpenSearch
OpenSearch